Software Alternatives, Accelerators & Startups

ColorSlurp VS Plotly

Compare ColorSlurp VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

ColorSlurp logo ColorSlurp

Pick, edit, save, and copy colors. The best color picker in the universe!

Plotly logo Plotly

Low-Code Data Apps
  • ColorSlurp Landing page
    Landing page //
    2023-09-29
  • Plotly Landing page
    Landing page //
    2023-07-31

ColorSlurp features and specs

  • User-Friendly Interface
    ColorSlurp offers an intuitive, easy-to-navigate user interface that simplifies the process of color selection and management for users.
  • Comprehensive Color Tools
    The app includes various tools such as a magnifier, loupe, and palette creator, enabling detailed color manipulation and precise selection.
  • Compatibility
    ColorSlurp is compatible with macOS, offering seamless integration with the operating system and easy access for Mac users.
  • Color Formats and Standards
    The app supports multiple color formats (HEX, RGB, HSL, etc.) and adheres to various color standards, making it versatile for different design needs.
  • Clipboard Integration
    Efficient clipboard integration allows users to quickly copy and paste color values, streamlining the workflow.

Possible disadvantages of ColorSlurp

  • Platform Limitation
    Currently, ColorSlurp is only available for macOS, restricting its availability to users on other operating systems like Windows or Linux.
  • Pricing
    While offering a free version, the full feature set is locked behind a Pro version, which requires a purchase, potentially limiting access for budget-conscious users.
  • Learning Curve
    Although user-friendly, new users may need some time to familiarize themselves with all the features and tools the app offers.
  • Feature Overlap
    Some users might find feature overlaps with other industry-standard design tools they already use, making ColorSlurp redundant in certain workflows.
  • Limited Customization
    Customization options for the interface and tool settings are limited, potentially restricting users from tailoring the app to their specific needs.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of ColorSlurp

Overall verdict

  • ColorSlurp is highly regarded among designers and developers who require a reliable and efficient color management tool. It consistently receives positive feedback regarding its functionality and user experience.

Why this product is good

  • ColorSlurp is a color management tool appreciated for its simplicity, precision, and comprehensive features. Users like it for its ability to easily pick, edit, and organize colors. It integrates smoothly into a designer's workflow with tools like color schemes and palettes. The app's interface is intuitive, supporting quick access to color information and providing features like contrast checking and RGB/HEX conversion.

Recommended for

    Designers, developers, and artists who frequently work with color and need an effective tool for color selection, organization, and conversion.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

ColorSlurp videos

The Best Color Picker App for Mac and it's Free! ColorSlurp

More videos:

  • Review - ColorSlurp - The best Mac color picker in the universe!

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to ColorSlurp and Plotly)
Color Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Color Picker
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ColorSlurp and Plotly

ColorSlurp Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

Based on our record, Plotly should be more popular than ColorSlurp. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ColorSlurp mentions (11)

  • Must-Use Mobile Accessibility Testing Tools in 2025
    ColorSlurp offers a one-click solution to adjust color contrast and quickly modify background or foreground colors to meet accessibility requirements. Additionally, the tool features a camera color picker that detects dominant colors in the environment automatically, making it easy to create palettes from real-world objects. - Source: dev.to / almost 2 years ago
  • Ask HN: What software sparks joy when using?
    In no particular order: Prologue [0] - iOS Audiobook player, used Plex as a media source Overcast [1] - iOS Podcast player CleanShotX [2] - macOS screenshot/video/gif capture with annotation Drafts [3] - iOS/macOS note taking tool Paprika [4] - Cross platform recipe app YNAB [5] - "You Need A Budget" - web/mobile budgeting app 1Password [6] - Cross platform password manager Carrot Weather [7] - iOS weather app... - Source: Hacker News / over 2 years ago
  • 10 niche mac apps for web developers
    ColorSlurp is my preferred color picker. It too has multiple keyboard shortcuts as well as a bunch of other great little features to make it a well-rounded picker. And as a heavy Alfred user, I love that there is a heavy support for URL schemes so I can trigger a bunch of actions via external scripts. Source: over 3 years ago
  • Just got a Mac, what are some of your must-have apps and software to have on it?
    Havenโ€™t seen them mentioned yet but ColorSlurp is a slick colour picker and MeetingBar is an awesome meeting reminder tool that lives in your menu bar and gives you a quick prompt to join a Zoom/Teams/whatever meeting. Source: about 4 years ago
  • Designing for Serious Business - SpotVirtualHQ
    A big part of my job is choosing colors that are easy on the eyes and wonโ€™t over stimulate. I suggest you choose neutral colors first and then add in slightly toned down branding colors trickled throughout the space. Another way to keep things toned down is to not create high contrast, for example whatever color your walls are, make window trims the same color to help blend it out. Personally, I am a big fan of... Source: about 4 years ago
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Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 5 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing ColorSlurp and Plotly, you can also consider the following products

ColorSnapper - The missing color picker for Mac.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Sip - A better way to collect, organize & share your colors.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

macOS - macOS High Sierra brings new forward-looking technologies and enhanced features to your Mac.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.